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Reducing Domain Gap by Reducing Style Bias
Convolutional Neural Networks (CNNs) often fail to maintain their performance when they confront new test domains, which is known as the problem of domain shift. Recent studies suggest that one of the main causes of this problem is CNNs’ strong inductive
Hyeonseob Nam +4 more
semanticscholar +1 more source
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer [PDF]
Adversarial attacks and backdoor attacks are two common security threats that hang over deep learning. Both of them harness task-irrelevant features of data in their implementation.
Fanchao Qi +5 more
semanticscholar +1 more source
El cristianismo en el espejo de la religión moral de Kant
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Leonardo Rodriguez Dupla
doaj +1 more source
Autoengaño y conciencia moral. Comentario crítico a Kant y el cristianismo de Rogelio Rovira
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Rafael Reyna
doaj +1 more source
Style Normalization and Restitution for Generalizable Person Re-Identification [PDF]
Existing fully-supervised person re-identification (ReID) methods usually suffer from poor generalization capability caused by domain gaps. The key to solving this problem lies in filtering out identity-irrelevant interference and learning domain ...
Xin Jin +4 more
semanticscholar +1 more source
V Congreso Internacional de la SEKLE (Chile)
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SEKLE .
doaj +1 more source
¿Hay un desarrollo kantiano de las categorías a partir de la unidad del "yo pienso"?
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Klaus Düsing
doaj +1 more source
Julian Barnes and Bauman's Tourist: Superficiality and Postmodernism
No hay ...
John Style
doaj +1 more source
This study aims to analyze board of commissioner size, gender diversity in boards, external auditor quality, and tax aggressiveness on property and real estate sector companies listed in Indonesia Stock Exchange (IDX) in the period of 2013-2017.
Desi Ambarsari +2 more
doaj +1 more source

